Semantic and Visual Analysis of Metadata to Search and Select Heterogeneous Information Resources

An increasing number of activities in several disciplinary and industrial fields such as the scientific research, the industrial design and the environmental management, rely on the production and employment of informative resources representing objects, information and knowledge. The vast availability of digitalized information resources (documents, images, maps, videos, 3D model) highlights the need for appropriate methods to effectively share and employ all these resources. In particular, tools to search and select information resources produced by third parties are required to successfully achieve our daily work activities. Headway in this direction is made adopting the metadata, a description of the most relevant features characterizing the information resources. However, a plenty of features have to be considered to fully describe the information resources in sophisticated fields as those mentioned. This brings to a complexity of metadata and to a growing need for tools which face with this complexity. The thesis aims at developing methods to analyze metadata easing the search and comparison of information resources. The goal is to select the resources which best fit the user\u27s needs in specific activities. In particular, the thesis faces with the problem of metadata complexity and supports in the discovery of selection criteria which are unknown to the user. The metadata analysis consists of two approaches: visual and semantic analysis. The visual analysis involves the user as much as possible to let him discover the most suitable selection criteria. The semantic analysis supports in the browsing and selection of information resources taking into account the user\u27s knowledge which is properly formalized

Supporting Exploratory Web Search With Meaningful and Stable Categorized Overviews

This dissertation investigates the use of categorized overviews of web search results, based on meaningful and stable categories, to support exploratory search. When searching in digital libraries and on the Web, users are challenged by the lack of effective overviews. Adding categorized overviews to search results can provide substantial benefits when searchers need to explore, understand, and assess their results. When information needs are evolving or imprecise, categorized overviews can stimulate relevant ideas, provoke illuminating questions, and guide searchers to useful information they might not otherwise find. When searchers need to gather information from multiple perspectives or sources, categorized overviews can make those aspects visible for interactive filtering and exploration. However, they add visual complexity to the interface and increase the number of tactical decisions to be made while examining search results. Two formative studies (N=18 and N=12) investigated how searchers use categorized overviews in the domain of U.S. government web search. A third study (N=24) evaluated categorized overviews of general web search results based on thematic, geographic, and government categories. Participants conducted four exploratory searches during a two hour session to generate ideas for newspaper articles about specified topics. Results confirmed positive findings from the formative studies, showing that subjects explored deeper while feeling more organized and satisfied, but did not find objective differences in the outcomes of the search task. Results indicated that searchers use categorized overviews based on thematic, geographic, and organizational categories to guide the next steps in their searches. This dissertation identifies lightweight search actions and tactics made possible by adding a categorized overview to a list of web search results. It describes a design space for categorized overviews of search results, and presents a novel application of the brushing and linking technique to enrich search result interfaces with lightweight interactions. It proposes a set of principles, refined by the studies, for the design of exploratory search interfaces, including "Organize overviews around meaningful categories," "Clarify and visualize category structure," and "Tightly couple category labels to search result list." These contributions will be useful to web search researchers and designers, information architects and web developers

Informationsvisualisierung und Retrieval im Fokus der Informationspraxis

Methoden und Techniken der Informationsvisualisierung werden seit ungefähr zwanzig Jahren im Bereich der Informationssuche eingesetzt. In dieser Literaturstudie werden ausgewählte Visualisierungsanwendungen der letzten Jahre vorgestellt. Sie betreffen zum einen den Retrievalprozess, das Boolesche Retrieval, die facettierte Suche, Dokumentbeziehungen, die Zufallssuche und Ergebnisanzeige, zum anderen spezielle Anwendungen wie die kartenbasierte und adaptive Visualisierung, Zitationsnetzwerke und Wissensordnungen. Die Einsatzszenarien für Applikationen der Informationsvisualisierung sind vielfältig. Sie reichen von mobilen kleinformatigen Anwendungen bis zu großformatigen Darstellungen auf hochauflösenden Bildschirmen, von integrativen Arbeitsplätzen für den einzelnen Nutzer bis zur Nutzung interaktiver Oberflächen für das kollaborative Retrieval. Das Konzept der Blended Library wird vorgestellt. Die Übertragbarkeit von Visualisierungsanwendungen auf Bibliothekskataloge wird im Hinblick auf die Nutzung des Kataloginputs und des Angebots an Sucheinstiegen geprüft. Perspektivische Überlegungen zu zukünftigen Entwicklungsschritten von Bibliothekskatalogen sowie zum Einfluss von Visualisierungsanwendungen auf die Informationspraxis werden angestellt.Information visualization methods and techniques have been applied to information retrieval tasks for about twenty years. This literature survey gives an overview over recent applications in the field of information seeking. Information visualization applications for general search processes (Boolean queries, faceted search, relations between documents, serendipity and presentation of results) as well as for specific applications like map-based visualization, adaptive visualization, citation networks and knowledge systems are presented. Application settings for information visualization are manifold. They span from small-sized mobile devices to wall-sized high resolution displays, from integrative workplaces for individual use to interactive surfaces for collaborative information seeking activities. The idea of the Blended Library is presented. The portability of information visualization applications for library catalogs is evaluated with special regard to metadata use and catalog access points. Possible next stages of library catalog development are discussed. Finally, observations on the influence of visualization applications on the information practice are made

Visual approaches to knowledge organization and contextual exploration

This thesis explores possible visual approaches for the representation of semantic structures, such as zz-structures. Some holistic visual representations of complex domains have been investigated through the proposal of new views - the so-called zz-views - that allow both to make visible the interconnections between elements and to support a contextual and multilevel exploration of knowledge. The potential of this approach has been examined in the context of two case studies that have led to the creation of two Web applications. The \ufb01rst domain of study regarded the visual representation, analysis and management of scienti\ufb01c bibliographies. In this context, we modeled a Web application, we called VisualBib, to support researchers in building, re\ufb01ning, analyzing and sharing bibliographies. We adopted a multi-faceted approach integrating features that are typical of three di\ufb00erent classes of tools: bibliography visual analysis systems, bibliographic citation indexes and personal research assistants. The evaluation studies carried out on a \ufb01rst prototype highlighted the positive impact of our visual model and encouraged us to improve it and develop further visual analysis features we incorporated in the version 3.0 of the application. The second case study concerned the modeling and development of a multimedia catalog of Web and mobile applications. The objective was to provide an overview of a significant number of tools that can help teachers in the implementation of active learning approaches supported by technology and in the design of Teaching and Learning Activities (TLAs). We analyzed and documented 281 applications, preparing for each of them a detailed multilingual card and a video-presentation, organizing all the material in an original purpose-based taxonomy, visually represented through a browsable holistic view. The catalog, we called AppInventory, provides contextual exploration mechanisms based on zz-structures, collects user contributions and evaluations about the apps and o\ufb00ers visual analysis tools for the comparison of the applications data and user evaluations. The results of two user studies carried out on groups of teachers and students shown a very positive impact of our proposal in term of graphical layout, semantic structure, navigation mechanisms and usability, also in comparison with two similar catalogs

Visualization of Metadata using the SuperTable + Scatterplot

In this paper we will present a new approach combining different visualizations into a so called SuperTable with a Scatterplot. The goal was to improve user experience during the information seeking process. Originally INSYDER was a system to supply small and medium size enterprises with business information from the Internet by using a local meta search engine. The new prototype will be much more flexible concerning the operational area as well as the used visualizations. Instead of offering multiple visualizations to choose from INSYDER combines them into one, reducing the confusion of different visualizations

Visualization of Metadata using the SuperTable + Scatterplot

In this paper we will present a new approach combining different visualizations into a so called SuperTable with a Scatterplot. The goal was to improve user experience during the information seeking process. Originally INSYDER was a system to supply small and medium size enterprises with business information from the Internet by using a local meta search engine. The new prototype will be much more flexible concerning the operational area as well as the used visualizations. Instead of offering multiple visualizations to choose from INSYDER combines them into one, reducing the confusion of different visualizations.